In this contributed article, William Ellis, discusses the U.S. power grid infrastructure and how artificial intelligence and machine learning can be leveraged to help secure the power grid, its infrastructure, and customers nationwide. During a time of widespread service disruptions, decisions will have to be made in terms of how to route resources. Smart systems can help to monitor the situation and provide intelligent recommendations, but that data must be used effectively by all involved.

In this special guest feature, Ed Cuoco is the Director of Data Science at The Weather Company, takes a look at big data from the perspective of the utility company and how they can no longer serve their own or their stakeholders’ interests without smarter insights at scale and in real time.

The water and wastewater industry is in transition to a digital revolution that has the potential to transform the industry from the use of data-driven technologies, with utility sector spending dwarfing the industrial market. This is according to a new report by Global Water Intelligence (GWI) that provides a detailed guide to the opportunities in this smart market.

Hadoop, while beneficial in many IT environments, unfortunately, will not work with the massive amounts of data generated in most industrial environments. This contributed article by Alex Clark, founder and Chief Software Architect at Bit Stew Systems, asks what if we remove this from our industrial planning, what does the future industrial data architecture look like?

Silver Spring Networks, Inc. (NYSE: SSNI), a leading networking and solutions provider for smart energy networks, is building on the MongoDB database to seamlessly capture and store high volumes of rapidly changing, complex machine-to-machine (M2M) data for its new SilverLink™ Sensor Network

“Our architecture permits tens of thousands of SSDs to be connected together and accessed in a parallel and concurrent way using direct mapping of memory accesses from a local machine to the I/O bus and memory of a remote machine. This feature allows for data transmission between local and remote system memories without the use of operating system services. It also enables a unique linear scalability of SSDs bandwidth and IOPS and consequently allows computation and data access to scale together linearly. This totally eliminates the bottleneck in bandwidth or IOPS and provides optimal dimensions of performance, capacity, and computation with an unmatched flexibility at a fraction of the costs.”

Amazon.com Inc. recently updated its iPhone app with a cool new feature that lets user find items in the online store by simply holding them in front of the phone’s camera. The feature is called “Flow” and is designed to expedite searching for products rather than typing a name or scanning a bar code.

For Big Data to become an accepted and integral part of enterprise operations, a base of applications has to be developed that are vital to the organization’s functioning. IBM is doing its part. The company has just introduced predictive analytics software and services that forecast asset failure. For example, the new offering can help C-level […]

Industry Perspectives

In this special guest feature, Brian D’alessandro, Director of Data Science at SparkBeyond, discusses how AI is a learning curve, and exploring opportunities within the technology further extends its potential to enable transformation and generate impact. It can shape workflows to drive efficiency and growth opportunities, while automating other workflows and create new business models. While AI empowers us with the ability to predict the future — we have the opportunity to change it. [READ MORE…]

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